A windprofiling radar network of China is designed. The assimilation of windprofiling radar observations anticipated from this network is conducted as a series of observing system simulation experiments (OSSEs) to study its impact on the GRAPES_MESO model system in a case of south shear line weather. In this OSSEs study, a control simulation without any data assimilated is compared to four OSSE simulations that assimilated windprofiling radar or sounding data. The rootmeansquare error (RMSE) of wind analysis is compared against the control simulation. A significant increase of RMSE of wind analysis is found obviously below 500 hPa level when the wind profile data are used in the assimilation system. The obvious improvement from inclusion of wind profile for RMSE of wind analysis is below 300 hPa roundly. When the wind profile data of troposphere II type are assimilated RMSE of wind analysis is a little larger than that when the wind profile data of boundary layer type are assimilated. The results show the two types of windprofiling radar neither improve the rainfall prediction obviously, but the rainfall prediction is improved when the sounding data are also assimilated together.